New article proposes content rewards from AI revenue
A new opinion article proposes payments for authorized training material, documents, workflows, expert evaluations and adopted improvements. It separates contributor rewards from proposed public dividends and worker benefits.
Proposed contributor rewards
The article proposes license fees, qualified-use payments, commissions and negotiated revenue shares for different contributions. Potential benefits depend on customer demand, useful contributions and sustainable margins.
Separate permissions for broader use
The proposal distinguishes private document use from contributions to models serving other customers. It calls for separate treatment of confidential information, personal data and third-party obligations.
Proposed payment evidence
The proposal calls for agreements defining covered products, qualifying events, payment formulas and beneficiaries. Usage records and earnings statements would support contributor challenges to missing credit or unpaid amounts.
Illustrative revenue allocation
Agreements adopting the proposed 20% contributor pool would allocate $200,000 from $1 million in monthly eligible collected revenue. The proposed division assigns $120,000 to corpus contributions, $40,000 to prompts and $40,000 to accepted ideas, contributions and influences.
Documentation listing
The README now lists the article and its discussion of proposed contributor income, worker benefits, public benefits and auditable agreements.
Files in this change
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README.md | modified | +1 −0 |
docs/AI_CIRCULAR_ECONOMY_CONTENT_REWARDS_ARTICLE.md | added | +69 −0 |